Become a key player on our Quantitative Equity Team, working as a Data Scientist in Vancouver. Collaborate with investment and data experts to tackle cutting-edge challenges in a hybrid work environment.
This role is perfect for those enthusiastic about quantitative equity investment management. You will receive comprehensive training and apply your skills in data science, machine learning, and AI to enhance our investment data processes. Work closely with quantitative researchers and technology specialists to support alpha research while developing a strong understanding of relevant financial concepts.
Key Responsibilities:
• Develop methods for named entity recognition at scale
• Assess billions of data points using customized algorithms




• Test structured and unstructured datasets for quality
• Collaborate with researchers to support alpha projects
• Ensure the successful production deployment of your work
Requirements:
• Analytical mindset for balancing intuition and statistics
• Experience in building and validating ML & AI models
• Financial knowledge for informed data decision-making
• Strong time management skills for multiple projects
• Relevant academic degree; graduate degree is a plus
Elevate your career in data science and finance with a dedicated team focused on long-term success.
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📌 Data Scientist for Quantitative Equity Team (Vancouver)
🏢 Socket.dev
📍 Vancouver